Zusammenfassung

Scoring models that make use of proximity information usually improve result
quality in text retrieval. Considering that index structures carrying proximity
information can grow huge in size if they are not pruned, it is helpful to tune
indexes towards space requirements and retrieval quality. This paper elaborates
on our approach used for INEX 2009 to tune index structures for different
choices of result size k. To allow for comparison as to retrieval quality with
non-pruned index structures, we also depict our results from the Adhoc Track.